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Computational methodologies for understanding the dynamics of an online community of educators.

机译：用于了解在线教育者社区动态的计算方法。

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摘要

Online learning communities are becoming an invaluable component of educator instruction. By providing educators with access to teaching resources and best practices shared by their peers, these communities have been shown to improve the instructional practices of educators and produce increases in student learning. Given the importance of online learning communities to teaching and learning, understanding their dynamics and the factors that influence these dynamics has key implications for educator instruction and student learning. A better understanding of the aforementioned dynamics can also benefit agencies that support these communities.;In this dissertation, I show that sociological network theory can be used to understand the dynamics of online learning communities. Specifically, the phenomena of homophily (tendency of individuals to have social ties with others of similar traits) and triadic closures (tendency of new connections to develop between individuals sharing a common neighbor) can be understood through the sharing and usage behaviors of educators. I also demonstrate how an understanding of the triadic closure process can be used to improve the performance of traditional resource recommendation systems. Finally, I show that social influence may play a significant role in the diffusion and popularity of resources within online learning communities.
机译：在线学习社区正在成为教育者指导的重要组成部分。通过向教育工作者提供与同行共享的教学资源和最佳实践的途径，这些社区已被证明可以改善教育工作者的教学实践并促进学生学习。考虑到在线学习社区对教与学的重要性，了解其动态以及影响这些动态的因素对教育者的指导和学生学习具有关键意义。更好地理解上述动态机制也可以使支持这些社区的中介机构受益。;本文证明了社会网络理论可以用来理解在线学习社区的动态机制。具体而言，可以通过教育者的共享和使用行为来理解同质（个人倾向于与具有相似特征的人建立社会联系的倾向）和三合会封闭（在共享共同邻居的个体之间发展新的联系的倾向）的现象。我还将演示如何理解三合会关闭过程，以改善传统资源推荐系统的性能。最后，我证明了社会影响力可能会在在线学习社区中资源的传播和普及中发挥重要作用。

著录项

  • 作者

    Dibie, Ogheneovo.;

  • 作者单位

    University of Colorado at Boulder.;

  • 授予单位 University of Colorado at Boulder.;
  • 学科 Computer science.
  • 学位 Ph.D.
  • 年度 2016
  • 页码 127 p.
  • 总页数 127
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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